Success Story

Reed optimises
candidate matching
& marketing
performance with
production ML

30%

reduction in paid marketing costs for high-performing roles
15%

increase in direct job applications
8%

increase in email open rates

The Overview

Reed.co.uk has designed and deployed production-grade machine learning models that improved application forecasting, optimised marketing spend, and strengthened personalised job matching. Working alongside Godel, Reed.co.uk built predictive modelling, semantic recommendation systems, and a scalable MLOps foundation that is delivering commercial impact in a live recruitment environment.

The Challenge

Reed.co.uk needed to increase marketing efficiency and improve its candidate-role alignment without compromising performance – while also operating at scale. The business required; More accurate forecasting of achievable job application volumes, Reduced paid marketing waste, Better personalisation beyond just keyword-based matching and Production-ready ML, not isolated experimentation Machine learning needed to be embedded and commercially measurable.

The Solution

Reed.co.uk embedded machine learning capabilities within its product environment, delivering scalability underpinned by robust engineering and MLOps governance, with support from Godel.

The focus was on measurable commercial impact, ensuring that models drove live performance improvements.

Predictive model

Reed.co.uk built a model that predicts how many applications each job is likely to receive
Personalised recommendations

Improved job alerts & email campaigns by recommending roles based on real user behaviour & profiles
Production MLOps

Deployed the models into live systems with automated updates, monitoring, and reliability built in
ML capability enablement

Strengthened internal machine learning processes, testing standards, and governance
LLM Scoring

Provided insights into the quality of the applications, the strengths and gaps between the CV and the job advert

"Godel Data Scientists bring deep ML/Deep Learning expertise that helps in building bespoke models for various product initiatives. Major highlights have been - LLM scoring between CV<>JD, CRM email recommendations improvement, and overall support in maintaining and deploying these models to production"

Sumegha Yadav | Head of AI Solutions

30%

reduction in paid marketing costs for high-performing roles
15%

increase in direct job applications
8%

increase in email open rates

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